google-research / dice_rlLinks
☆109Updated last year
Alternatives and similar repositories for dice_rl
Users that are interested in dice_rl are comparing it to the libraries listed below
Sorting:
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆89Updated last year
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- ☆90Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆114Updated 2 years ago
- ☆43Updated 7 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- Revisiting Rainbow☆76Updated 4 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- ☆31Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆129Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆62Updated 3 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- Learning Laplacian Representations in Reinforcement Learning☆18Updated 4 years ago
- Library to compare and evaluate reward functions☆67Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- Code for paper Causal Confusion in Imitation Learning☆46Updated 5 years ago
- ☆113Updated 6 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- ☆85Updated 4 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 5 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆55Updated 5 years ago